Understanding Data Structures and Components in Statistical Metadata Frameworks
This document explores the essential elements of statistical metadata, focusing on key components such as DataStructureDefinition, ComponentSpecification, and various properties including dimensions and measures. It highlights how these components interact within a dataset, the significance of slice keys, and the role of observation and measurement properties. By providing insights into the framework and vocabulary related to statistical data compilation, this guide serves as a reference for statisticians and data managers aiming to enhance data organization and analysis.
Understanding Data Structures and Components in Statistical Metadata Frameworks
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Presentation Transcript
qb:component qb:componentRequired : booleanqb:componentAttachment : rdfs:Classqb:order : xsd:int qb:DataStructureDefinition qb:ComponentSpecification qb:sliceKey qb:componentProperty qb:dimensionqb:attributeqb:measure qb:structure qb:componentProperty qb:SliceKey qb:DataSet qb:slice qb:ComponentProperty qb:sliceStructure qb:dataset qb:concept qb:Slice qb:DimensionProperty qb:measureType qb:subSlice skos:Concept qb:AttributeProperty qb:observation sdmx:Concept qb:MeasureProperty qb:Observation sdmx:ConceptRole qb:CodedProperty qb:codeList sdmx:FrequencyRolesdmx:CountRolesdmx:EntityRolesdmx:TimeRole sdmx:MeasureTypeRole sdmx:NonObsTimeRole sdmx:IdentityRole sdmx:PrimaryMeasureRole skos:ConceptScheme sdmx:CodeList